Maria // AI Receptionist
Greets visitors, qualifies the request, and prepares the clean owner handoff.
DBM is now built to demonstrate the systems it sells: Maria answers the front door, the other agents protect the customer path, and every output is ready for a human to review and use. If the visitor is ready, the next step is booking.
Open the AI bench ↓ Build my AI Website →These are not six disconnected chatbots. They share the captured business context, map to the complete 25-service menu, and return a practical next action. Jamie remains the intervention point before outreach, publishing, system changes, or ad spend.
Greets visitors, qualifies the request, and prepares the clean owner handoff.
Turns a new inquiry into a fast reply, triage fields, and the next follow-up.
Writes respectful win-back touches with an opt-out and a reason to reply.
Routes happy, unsure, and unhappy customers without review-gating or fake praise.
Finds the real concern in a quote or sales conversation and gives the owner one clean move.
Turns the actual business bottleneck into a seven-day marketing plan tied to action.
Copy the output into the connected client system after consent, owner review, and the correct provider connection are confirmed.
A lead, missed call, completed job, stale contact, quote objection, or weekly marketing need enters through the connected client-owned system.
The right DBM agent reads the approved context, writes the next action, and flags anything sensitive or ambiguous for a human.
The client’s CRM, phone, calendar, email, or review path executes only after the integration and approval boundary are in place.